An inordinate amount of computation is required to evaluate predictions of simulation-based models. Following Myung et al (2007), we derived an analytic form expression of the REM model of recognition memory using a Fourier transform technique, which greatly reduces the time required to perform model simulations. The accuracy of the derivation is verified by showing a close correspondence between its predictions and those reported in Shiffrin and Steyvers (1997). The derivation also shows that REM's predictions depend upon the vector length parameter, and that model parameters are not identifiable unless one of the parameters is fixed.

中文翻译：

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识别记忆REM模型的解析表达式

需要大量的计算来评估基于模拟的模型的预测。继 Myung 等人 (2007) 之后，我们使用傅立叶变换技术导出了识别记忆的 REM 模型的解析形式表达式，这大大减少了执行模型模拟所需的时间。推导的准确性通过显示其预测与 Shiffrin 和 Steyvers (1997) 报告的密切对应来验证。推导还表明，REM 的预测取决于向量长度参数，除非其中一个参数是固定的，否则模型参数是不可识别的。